Data ScientistCông Ty TNHH Lp Technology
Nơi làm việc: Hà Nội
Ngành nghề: IT phần mềm, IT / Phần mềm / IOT / Điện tử viễn thông
Lương: 10 - 30 triệu VNĐ
Hình thức: Toàn thời gian
Ngày đăng: 20/05/2024
Hạn nộp: 20/07/2024
Mô tả công việc
Responsibilities
· -Manipulating data over the entire data pipelines (data cleaning, normalization, enrichment, transformation and features engineering.)
· -Performing Exploratory Data Analysis/Data Discovery to understand the business meaning of the data and some relevant pattern. Result shall be presented in a clear and easy to understand manner.
· -Build and evaluation of predictive analytics models using state-of-the-art data mining techniques and machine-learning algorithms
· -Provide strategic ideas and analytics concept to understand customer insights from their data.
· -Work closely with Data Engineering team to build, deploy and maintain data models on our company's infrastructure.
· -Propose solutions and strategies to business challenges.
· -Manipulating data over the entire data pipelines (data cleaning, normalization, enrichment, transformation and features engineering.)
· -Performing Exploratory Data Analysis/Data Discovery to understand the business meaning of the data and some relevant pattern. Result shall be presented in a clear and easy to understand manner.
· -Build and evaluation of predictive analytics models using state-of-the-art data mining techniques and machine-learning algorithms
· -Provide strategic ideas and analytics concept to understand customer insights from their data.
· -Work closely with Data Engineering team to build, deploy and maintain data models on our company's infrastructure.
· -Propose solutions and strategies to business challenges.
Yêu cầu công việc
Requirements
· -Bachelor degree in Statistic/Math/Information Technology/Computer Science/Applied Science/Quantitative Economics/Banking & Finance.
· -At least 1 year of industrial experience (for Junior level), 2 years (for Middle level), with demonstrable record of utilising Data Science techniques to deliver solid business impact.
· -Experience with common data science programming language and toolkits: either Python (pandas, numpy, sklearn) or R (dplyr, ggplot, caret).
· - Proficiency in using SQL for data queries and manipulation.
· -Understanding of basic machine learning algorithms: linear/logistic regression, decision tree, kmeans, neural net, support vector machine, ensemble of multiple models, etc.
· -Ability to work under pressure
· Business proficiency in English language skills is a must (TOEIC >700 or equivalent)
The following quality is a plus:
· -Computer Science fundamentals and programming (data structures, algorithms, computability and complexity, computer architecture, etc.)
· -Strong background in math: linear algebra, multivariate calculus, probability and statistic, optimization
· -Experience and skills in Big Data analytics (Hadoop, Spark).
· -Experience with Cloud storage and computation ecosystem (Amazon EC2, S3, EMR).
· -Bachelor degree in Statistic/Math/Information Technology/Computer Science/Applied Science/Quantitative Economics/Banking & Finance.
· -At least 1 year of industrial experience (for Junior level), 2 years (for Middle level), with demonstrable record of utilising Data Science techniques to deliver solid business impact.
· -Experience with common data science programming language and toolkits: either Python (pandas, numpy, sklearn) or R (dplyr, ggplot, caret).
· - Proficiency in using SQL for data queries and manipulation.
· -Understanding of basic machine learning algorithms: linear/logistic regression, decision tree, kmeans, neural net, support vector machine, ensemble of multiple models, etc.
· -Ability to work under pressure
· Business proficiency in English language skills is a must (TOEIC >700 or equivalent)
The following quality is a plus:
· -Computer Science fundamentals and programming (data structures, algorithms, computability and complexity, computer architecture, etc.)
· -Strong background in math: linear algebra, multivariate calculus, probability and statistic, optimization
· -Experience and skills in Big Data analytics (Hadoop, Spark).
· -Experience with Cloud storage and computation ecosystem (Amazon EC2, S3, EMR).
Quyền lợi được hưởng
Benefits
· -Joining LP Tech, you will have great opportunity to work with young, friendly & smart people
· -Attractive remuneration package (competitive salary, bonus)
· -Salary review twice a year
· -Social Insurance, Health insurance, Unemployment insurance in accordance with Vietnam Labor Law
· -12 Annual Leaves
· -Complete & professional working procedures & policies
· -Flexible training programs
· -Company trip, Teambuilding programs and other interesting activities
· -Joining LP Tech, you will have great opportunity to work with young, friendly & smart people
· -Attractive remuneration package (competitive salary, bonus)
· -Salary review twice a year
· -Social Insurance, Health insurance, Unemployment insurance in accordance with Vietnam Labor Law
· -12 Annual Leaves
· -Complete & professional working procedures & policies
· -Flexible training programs
· -Company trip, Teambuilding programs and other interesting activities
Nộp hồ sơ liên hệ
Công Ty TNHH Lp Technology
Giới thiệu công ty
Công Ty TNHH Lp Technology việc làm
Tầng 3 - Tòa The Golden Palm - 21 Lê Văn Lương - Nhân Chính - Thanh Xuân - Hà Nội
Quy mô: Từ 26 - 100 nhân viên
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Vị trí Data Scientist do công ty Công Ty TNHH Lp Technology tuyển dụng tại Hà Nội, Joboko tự động tổng hợp mức lương 10 - 30 triệu VNĐ, tìm thêm việc làm về Data Scientist hoặc công ty Công Ty TNHH Lp Technology ở các link phía trên
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